diff --git a/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py b/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
index 3ef7a40e9a9..39f97699d49 100644
--- a/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
+++ b/litellm/llms/bedrock/image/amazon_nova_canvas_transformation.py
@@ -67,6 +67,10 @@ class AmazonNovaCanvasConfig:
         """
         task_type = optional_params.pop("taskType", "TEXT_IMAGE")
         image_generation_config = optional_params.pop("imageGenerationConfig", {})
+
+        # Filter out model_id parameter to prevent "extraneous key" error from Bedrock API
+        optional_params.pop("model_id", None)
+
         image_generation_config = {**image_generation_config, **optional_params}
         if task_type == "TEXT_IMAGE":
             text_to_image_params: Dict[str, Any] = image_generation_config.pop(
diff --git a/litellm/llms/bedrock/image/image_handler.py b/litellm/llms/bedrock/image/image_handler.py
index 55d94675d14..0103f190d36 100644
--- a/litellm/llms/bedrock/image/image_handler.py
+++ b/litellm/llms/bedrock/image/image_handler.py
@@ -233,7 +233,17 @@ class BedrockImageGeneration(BaseAWSLLM):
         Returns:
             dict: The request body to use for the Bedrock Image Generation API
         """
-        provider = model.split(".")[0]
+        # Use the existing ARN-aware provider detection method
+        bedrock_provider = self.get_bedrock_invoke_provider(model)
+
+        if bedrock_provider == "amazon" or bedrock_provider == "nova":
+            # Handle Amazon Nova Canvas models
+            provider = "amazon"
+        elif bedrock_provider == "stability":
+            provider = "stability"
+        else:
+            # Fallback to original logic for backward compatibility
+            provider = model.split(".")[0]
         inference_params = copy.deepcopy(optional_params)
         inference_params.pop(
             "user", None